Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

<p dir="ltr">Intensive care is quite expensive, so patients’ transfer to lower-level wards must be carefully considered. A patient who is discharged from the ICU too soon carries the danger of receiving insufficient care, which results in readmission. Readmission prediction tasks are...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nadia Rasheed (22997257) (author)
مؤلفون آخرون:	Usman Khaliq (22997260) (author), Ashfaq Ahmed (71749) (author), Amine Bermak (1895947) (author)
منشور في:	2025
الموضوعات:	Health sciences Health services and systems Information and computing sciences Artificial intelligence Data management and data science ICU readmission prediction LSTM MIMIC-III time series analysis Hospitals Long short term memory Data models Predictive models Codes Prediction algorithms Medical diagnostic imaging Feature extraction
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

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